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are not limited to: Data visualisation Text mining Network analysis Digital mapping 3D modelling Augmented/Virtual reality AI and computer vision Digital exhibitions and archives Scholarly communication by
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, journalism, political science, sociology, law, economics, or computational social science, as well as an interest in how AI transforms the media and information ecosystem. The PhD student(s) will be embedded
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. Information and application Interested? Send your application before February 15th, 2026 through the provide button and should include: transcript of your MSc course grades CV, including publication list (when
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willingness to learn advanced methods Experience with quantitative and qualitative methods Experience in cognitive-behavioural studies and data preparation English language proficiency Ability to work
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, exposing the limitations of current detection timelines. This reactive posture is worsened by a visibility gap in the DNS ecosystem. A lack of transparency in registration data, coupled with the short-lived
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to advance predictive, data-driven production and materials planning incorporating the high variability in high-mix, low-volume (HMLV) manufacturing environments. This position is part of an Industrial
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and routine methodologies for tech transfer to GMP operations Analyzing data and creating graphs using appropriate software (e.g., SoftMax Pro, Excel, Prism) and data visualization tools; writing
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/scholarships/scholarship-policy-and-procedures The Opportunity This PhD scholarship forms part of a collaborative research program on digital transformation, data practices, and everyday life in Indonesia
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15th February 2026 Languages English English English PhD Research Fellow in Patient control of their health data used for research and treatment purposes at the Faculty of Law, University of Bergen
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is a lively and research-oriented group of scientists and support staff with a broad interest in information processing in humans and computers, and a particular focus on the signals they exchange, and